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• W4385819692 abstract "Inverse synthetic aperture radar (ISAR) imaging for non-cooperatives targets with complex translational motion (TM) and 3D rotational motion (RM) face the problem of spatial-variant (SV) and high-order phase modulation. Existing ISAR technique cannot compensate for the phase modulation completely, especially under low signal-to-noise-ratio (SNR). In this work, an efficient ISAR imaging approach is proposed for non-cooperative targets under low SNR. First, the signal model for non-cooperative targets with TM and 3D RM are established, where the high-order 2-D spatial-variant phase error are deduced by utilizing a nonstationary image projection plane (IPP) model. Second, to mitigate the influence of noise, an adaptive de-noising filter is generated by exploring the similarity between the profiles of echoes. In addition, inspired by the characteristic that all scatterers share the same TM, the compensating factors are extracted from the prominent scatterers, which can absolutely avoid the accumulation of residual TM errors. Meanwhile, the signal coherence is fully utilized to compensate for the SV phase errors caused by the RM. Finally, both simulated and electromagnetic data experiments validate the effectiveness and robustness of the proposed method." @default.
• W4385819692 created "2023-08-15" @default.
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• W4385819692 date "2023-01-01" @default.
• W4385819692 modified "2023-09-27" @default.
• W4385819692 title "ISAR Imaging for Non-cooperative Targets based on Sharpness Criterion under Low SNR" @default.
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• W4385819692 doi "https://doi.org/10.1109/jstars.2023.3304721" @default.
• W4385819692 hasPublicationYear "2023" @default.
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